package com.example.myapplication.function.musicmode

import android.util.Log

/**
 * 4. 在哼唱识别引擎中的集成
 */
class NoiseAwareHummingRecognitionEngine {
    private lateinit var audioRecorder: EnhancedAudioRecorder
    private val audioBuffer = mutableListOf<FloatArray>()
    private val melodyAnalyzer = EnhancedMelodyAnalyzer()
    private val spectralReducer = SpectralNoiseReducer()
    private val advancedNoiseFilter = AudioNoiseFilter()

    // 音频处理模式
    enum class NoiseReductionMode {
        NONE,           // 无降噪
        BASIC,          // 基本降噪
        ADVANCED,       // 高级降噪
        SPECTRAL        // 频域降噪
    }

    private var currentMode = NoiseReductionMode.ADVANCED

    // 回调接口
    var onRealTimeAnalysis: ((EnhancedMelodyAnalyzer.RealTimeAnalysis) -> Unit)? = null
    var onFinalResult: ((EnhancedMelodyAnalyzer.MelodyAnalysisResult) -> Unit)? = null
    var onNoiseLevelUpdate: ((Float) -> Unit)? = null
    var onAudioProcessed: ((FloatArray) -> Unit)? = null

    companion object {
        private const val MAX_BUFFER_SIZE = 1000
        private const val ANALYSIS_INTERVAL = 10
    }

    /**
     * 初始化引擎
     */
    fun initialize() {
        setupAudioRecorder()
    }

    /**
     * 设置音频录制器
     */
    private fun setupAudioRecorder() {
        audioRecorder = EnhancedAudioRecorder(
            onAudioData = { audioData ->
                processAudioWithNoiseReduction(audioData)
            },
            enableNoiseFilter = true
        )
    }

    /**
     * 启动哼唱识别
     */
    fun startRecognition() {
        audioBuffer.clear()
        audioRecorder.startRecording()
        Log.d("NoiseAwareEngine", "Recognition started with mode: $currentMode")
    }

    /**
     * 停止哼唱识别
     */
    fun stopRecognition() {
        audioRecorder.stopRecording()
        performFinalAnalysis()
    }

    /**
     * 带降噪的音频处理
     */
    private fun processAudioWithNoiseReduction(audioData: FloatArray) {
        val processedData = when (currentMode) {
            NoiseReductionMode.NONE -> audioData
            NoiseReductionMode.BASIC -> applyBasicNoiseReduction(audioData)
            NoiseReductionMode.ADVANCED -> applyAdvancedNoiseReduction(audioData)
            NoiseReductionMode.SPECTRAL -> applySpectralNoiseReduction(audioData)
        }

        // 添加到缓冲区
        audioBuffer.add(processedData)
        if (audioBuffer.size > MAX_BUFFER_SIZE) {
            audioBuffer.removeAt(0)
        }

        // 计算噪音水平
        val noiseLevel = calculateNoiseLevel(processedData)
        onNoiseLevelUpdate?.invoke(noiseLevel)

        // 实时分析
        val realTimeResult = melodyAnalyzer.analyzeRealTime(processedData)
        realTimeResult?.let {
            onRealTimeAnalysis?.invoke(it)
        }

        // 定期完整分析
        if (audioBuffer.size % ANALYSIS_INTERVAL == 0) {
            performFullAnalysis()
        }

        // 音频处理回调（用于可视化等）
        onAudioProcessed?.invoke(processedData)
    }

    private fun applyBasicNoiseReduction(audioData: FloatArray): FloatArray {
        val filter = AudioNoiseFilter()
        return filter.filterNoiseRealTime(audioData)
    }

    private fun applyAdvancedNoiseReduction(audioData: FloatArray): FloatArray {
        var processed = audioData

        // 1. 实时噪音过滤
        processed = advancedNoiseFilter.filterNoiseRealTime(processed)

        // 2. 带通滤波（保留人声频段）
        processed = advancedNoiseFilter.applyBandPassFilter(
            processed, 80f, 1000f, 44100f
        )

        return processed
    }

    private fun applySpectralNoiseReduction(audioData: FloatArray): FloatArray {
        // 频域降噪需要特定长度的数据
        return if (audioData.size >= 1024) {
            // 取前1024个样本进行频域降噪
            val chunk = audioData.copyOfRange(0, 1024.coerceAtMost(audioData.size))
            spectralReducer.spectralReduceNoise(chunk)
        } else {
            applyAdvancedNoiseReduction(audioData)
        }
    }

    private fun calculateNoiseLevel(audioData: FloatArray): Float {
        val energy = calculateEnergy(audioData)
        // 将能量转换为噪音水平 (0.0 - 1.0)
        return (energy * 1000f).coerceIn(0f, 1f)
    }

    private fun calculateEnergy(audioData: FloatArray): Float {
        var sum = 0f
        for (sample in audioData) {
            sum += sample * sample
        }
        return sum / audioData.size
    }

    private fun performFullAnalysis() {
        if (audioBuffer.size < 10) return

        Thread {
//            val result = melodyAnalyzer.analyzeMelody(audioBuffer)
            // 可以在这里进行额外的处理或回调
        }.start()
    }

    private fun performFinalAnalysis() {
        Thread {
            val finalResult = melodyAnalyzer.analyzeMelody(audioBuffer)
            onFinalResult?.invoke(finalResult)
        }.start()
    }

    /**
     * 设置降噪模式
     */
    fun setNoiseReductionMode(mode: NoiseReductionMode) {
        currentMode = mode
        Log.d("NoiseAwareEngine", "Noise reduction mode set to: $mode")
    }

    /**
     * 获取当前降噪模式
     */
    fun getCurrentMode(): NoiseReductionMode {
        return currentMode
    }

    /**
     * 学习环境噪音样本（用于频域降噪）
     */
    fun learnEnvironmentNoise(durationMs: Long = 2000) {
        Thread {
            // 录制一段环境噪音用于学习
            val noiseSamples = mutableListOf<FloatArray>()
            val startTime = System.currentTimeMillis()

            // 这里应该实现噪音样本采集逻辑
            // 简化实现：等待指定时间
            Thread.sleep(durationMs)

            if (noiseSamples.isNotEmpty()) {
                spectralReducer.learnNoiseProfile(noiseSamples)
                Log.d("NoiseAwareEngine", "Environment noise profile learned")
            }
        }.start()
    }

    /**
     * 清空音频缓冲区
     */
    fun clearBuffer() {
        audioBuffer.clear()
    }

    /**
     * 释放资源
     */
    fun release() {
        audioRecorder.stopRecording()
        audioBuffer.clear()
    }
}